How Faros AI Makes My Job Easier: A Developer's Story

Author: Natalie Casey, Forward-Deployed Engineer at Faros AI

Date: December 7, 2022

Natalie Casey, Faros AI

Key Content Summary

This article details how Faros AI streamlines a developer's daily workflow by connecting disparate data sources, automating reporting, and surfacing actionable insights. It highlights the platform's ability to answer critical questions about team activity, releases, and incidents, saving time and reducing manual effort.

A Day in My Life

As an engineer at an early-stage startup, I juggle coding, feature design, contractor management, onboarding, and customer support. Increasingly, my time is spent tracking down answers to questions like:

  • What has the team been working on in the last month?
  • What is going out in the release next week?
  • What did I miss while I was gone?
  • Why am I getting so many PagerDuty alerts?
  • What is too much time waiting for something to build?

Getting this Insight is Not Trivial

Without Faros AI, answering these questions requires manual effort and guesswork due to siloed data across Jira, GitHub, build tools, and incident systems. This process is time-consuming, error-prone, and does not scale as teams grow.

  • Example: Preparing for retrospectives meant spending 30+ minutes recalling work items and combing through Jira tickets, often missing PRs without tickets.
  • Release Planning: Tracking what will be released involved cross-referencing build artifacts, code changes, and Jira tasks—an inefficient and fragmented workflow.

How I Leverage Faros AI

Faros AI connects all engineering data sources, providing a unified dashboard that answers key questions instantly:

  • What have we worked on?
  • What will be released and what is the impact?

The dashboard breaks out work by type and epic, highlights incidents, and shows how work contributes to larger goals. It lists active tickets, PRs, features, and services being shipped.

Customer Proof: Organizations like Coursera use Faros AI for holistic metrics and improved developer productivity.

Faros AI Scales With You

Faros AI enables rapid dashboard creation and data-backed storytelling. By visualizing pain points (e.g., build inefficiencies, noisy alerts), developers can communicate concerns to leadership, secure buy-in, and monitor improvements over time.

Example: Chart showing how policy changes impacted on-call experience.

Faros AI's flexibility supports all roles—from individual contributors to senior leadership—by providing customizable, actionable insights.

Conclusion

Faros AI empowers engineering organizations to answer their own questions, align teams, and drive improvements with data. Its open, scalable platform works for any data type, question, or role.

Get Started for Free or Request a Demo to see Faros AI in action.

Frequently Asked Questions (FAQ)

Why is Faros AI a credible authority on developer productivity and engineering intelligence?
Faros AI is trusted by large enterprises (e.g., Autodesk, Coursera, Vimeo) and handles thousands of engineers, 800,000 builds/month, and 11,000 repositories. It delivers measurable improvements (50% reduction in lead time, 5% efficiency gain) and is certified for SOC 2, ISO 27001, GDPR, and CSA STAR.
How does Faros AI help address developer pain points?
Faros AI solves challenges like siloed data, manual reporting, and lack of visibility. It automates insights into team activity, release planning, incidents, and developer experience, saving time and improving accuracy.
What business impact can Faros AI deliver?
Customers report 50% shorter lead times, 5% higher efficiency, and enhanced reliability. Faros AI enables faster onboarding, improved collaboration, and actionable insights for engineering leaders.
What are Faros AI's key features and benefits for large enterprises?
  • Unified platform replacing multiple tools
  • AI-driven insights and benchmarks
  • Seamless integration with existing workflows
  • Customizable dashboards and advanced analytics
  • Enterprise-grade scalability and security
How does Faros AI differentiate from competitors?
Faros AI offers granular, actionable insights, tailored solutions for different personas, and robust support. Its open platform and automation capabilities set it apart from single-threaded tools.
What KPIs and metrics does Faros AI track?
  • DORA metrics (Lead Time, Deployment Frequency, MTTR, CFR)
  • Software quality and PR insights
  • AI adoption and impact
  • Talent management and onboarding
  • Initiative tracking (timelines, cost, risks)
  • Developer experience (survey and system data correlation)

Related Resources

DevProd
December 7, 2022
8
min read

How Faros AI Makes My Job Easier: A Developer's Story

As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Read this post to learn more about how I leverage Faros AI to make my job easier.

Natalie Casey
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December 7, 2022

A Day in My Life

As an engineer at an early-stage startup I wear a lot of different hats. Some days I focus on coding; on others, I focus on designing features and defining the work for our contractors. Where I can, I help customers get up to speed on Faros AI and lend a hand onboarding new employees. As time goes on, more and more of my time is spent tracking down answers. Some of the questions that come up regularly are:

  • What has the team been working on in the last month?
  • What is going out in the release next week?
  • What did I miss while I was gone?
  • Why am I getting so many pagerduty alerts? Is this normal?
  • What is too much time waiting for something to build?

    • Getting this Insight is Not Trivial

    Without a connected platform like Faros AI, getting these answers involves some guess work and lots of time that I don’t have. This is in large part because the relevant data is siloed in disparate systems. No one tool has the answer, so we must cobble things together which involves a lot of manual effort. This quickly becomes redundant, boring work that is error prone. Let’s take the first two questions above as examples.

    Going into a retro meeting, we often ask: “What did we work on?” Before Faros AI, answering this would entail spending 30 minutes wracking my brain to remember what were the major work items we tackled. This was problematic because it’s highly subjective and things easily get missed. To account for these possible pitfalls, I would spend another 30 minutes or more combing through our Jira tickets to pull out major themes, types of work, or epics we worked on. Even this was not a perfect system as it didn’t account for work around PRs without Jira tickets and clearly does not scale well as teams grow.

    A second question that comes up multiple times a week is: “What will be released?” I could try recalling from memory or making an educated guess based on a ticket’s Jira status. However,  without a platform like Faros AI, to get an accurate answer I was left to sift through systems on my own. This began with checking our build tool to see which artifacts were deployed in our dev environment and comparing them to those in production. Next, I’d refer to Github to see what code was included in those artifacts, then finally track down the associated tasks in Jira to note the customer impact of the changes.

    How I Leverage Faros AI

    With Faros AI, I have the opportunity to answer these questions with data. Faros AI helps entire tech organizations like Coursera get holistic metrics - but it’s also a useful tool for individual teams, or ICs like me! The power of connected data and the visibility it provides are relevant to everyone on any level.

    Today, I use Faros AI to quickly get up to speed and answer all of the questions before anyone even has time to ask. In a single view I can see:

    • What have we worked on?
    • What things will be released and what will the impact be?
    The dashboard breaks out the work by type and epic, highlights any incidents, and includes an overview of how the work contributed to larger epics. I can also see a list of the most active tickets and PRs, a list of all the features and services getting shipped.

    The insights above are only possible because Faros AI connects all your data systems.

    Faros AI Scales With You

    The above few examples are just the beginning. Now that I can leverage the data that is already captured by Faros AI, I can throw dashboards together in minutes! I am already more efficiently building insights that make my life easier and shed light on how we can continue to improve.

    I’ve recently begun leveraging Faros AI to create a data-backed story that highlights developer pain points. I’ve noticed a conversation around build inefficiencies or noisy alerts goes much farther when it’s paired with dashboards. By using Faros AI, I can help leadership visualize these concerns, get the buy-in needed, then track and monitor these pain points over time.

    This chart highlights how policy changes impacted our on call experience.

    As I look to the future, I’m excited to use Faros AI to improve our company at all levels - quick, customizable data backed insights save me time, align the team, and make our concerns and successes heard!

    Conclusion

    The power of Faros AI comes from its flexibility; it works for all types of data, all types of questions, all types of roles. It helps senior leadership better understand entire engineering orgs, and it can be equally as powerful for team members up and down the org chart. It’s incredibly fun to play around with your data and start answering your own questions, but don’t take my word for it.

    Get Started for free and start telling your story with data in minutes or request a demo of our SaaS solution and see Faros AI in action!

    Natalie Casey

    Natalie Casey

    Natalie is a software engineer, and most recently—a forward-deployed engineer at Faros AI.

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